Human Resource Management System. - A. S. Syed Navaz; A. S. Syed Fiaz; C. Prabhadevi; V. Sangeetha; S. Gopalakrishnan (CoRR, 2013)

Data Grid Concepts for Data Security in Distributed Computing. - A. S. Syed Navaz; C. Prabhadevi; V. Sangeetha (CoRR, 2013)

Entropy based Anomaly Detection System to Prevent DDoS Attacks in Cloud. - A. S. Syed Navaz; V. Sangeetha; C. Prabhadevi (CoRR, 2013)

A Normalized Rank Based A* Algorithm for Region Based Path Planning on an Image. - V. Sangeetha; R. Sivagami; K. S. Ravichandran 001 (ISDA (2), 2018)

Probabilistic Framework for Assessing the Threat Level using Novel Decision Constructs in Mobile Adhoc Network. - V. Sangeetha; S. Swapna Kumar (Int. J. Netw. Secur., 2018)

Novel Fuzzy Clustering Methods for Test Case Prioritization in Software Projects. - A. D. Shrivathsan; K. S. Ravichandran 001; Raghunathan Krishankumar; V. Sangeetha; Samarjit Kar; Pawel Ziemba; Jaroslaw Jankowski (Symmetry, 2019)

A Scientific Decision Framework for Cloud Vendor Prioritization under Probabilistic Linguistic Term Set Context with Unknown/Partial Weight Information. - R. Sivagami; K. S. Ravichandran 001; Raghunathan Krishankumar; V. Sangeetha; Samarjit Kar; Xiao-Zhi Gao 001; Dragan Pamucar (Symmetry, 2019)

Novel Image Compression and Deblocking Approach Using BPN and Deep Neural Network Architecture. - Rajsekhar Reddy Manyam; R. Sivagami; Raghunathan Krishankumar; V. Sangeetha; K. S. Ravichandran 001; Samarjit Kar (ICIS, 2020)

Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information. - Raghunathan Krishankumar; V. Sangeetha; Pratibha Rani; K. S. Ravichandran 001; Amir H. Gandomi (SSCI, 2020)

Restrained geodetic domination in graphs. - John Joy Mulloor; V. Sangeetha (Discret. Math. Algorithms Appl., 2020)

Assessment of cloud vendors using interval-valued probabilistic linguistic information and unknown weights. - R. Sivagami; Raghunathan Krishankumar; V. Sangeetha; K. S. Ravichandran 001; Samarjit Kar; Amir H. Gandomi (Int. J. Intell. Syst., 2021)

Energy-efficient green ant colony optimization for path planning in dynamic 3D environments. - V. Sangeetha; Raghunathan Krishankumar; K. S. Ravichandran 001; Samarjit Kar (Soft Comput., 2021)

A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. - Viswanathan Sangeetha; Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Fausto Cavallaro; Samarjit Kar; Dragan Pamucar; Abbas Mardani (Symmetry, 2021)

A Hybrid Gain-Ant Colony Algorithm for Green Vehicle Routing Problem. - V. Sangeetha; Raghunathan Krishankumar; K. S. Ravichandran 001; Amir H. Gandomi (ISCMI, 2022)

Understanding the Effects of Ant Algorithms on Path Planning with Gain-Ant Colony Optimization. - Viswanathan Sangeetha; Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Amir H. Gandomi (ISMSI, 2022)

Quantile correlative deep feedforward multilayer perceptron for crop yield prediction. - V. Sivanantham; V. Sangeetha; Abeer Ali Alnuaim; Wesam Atef Hatamleh; Chunduru Anilkumar; Ashraf Atef Hatamleh; Dirar Sweidan (Comput. Electr. Eng., 2022)

Critical concepts of restrained domination in signed graphs. - Anisha Jean Mathias; V. Sangeetha; Mukti Acharya (Discret. Math. Algorithms Appl., 2022)

Restrained geodetic domination of edge subdivision graph. - John Joy Mulloor; V. Sangeetha (Discret. Math. Algorithms Appl., 2022)

Tadpole domination number of graphs. - Vinny Susan Prebhath; V. Sangeetha (Discret. Math. Algorithms Appl., 2023)

Linear Kernel pattern matched discriminative deep convolutive neural network for dynamic web page ranking with big data. - P. Sujai; V. Sangeetha (Int. J. Crit. Infrastructures, 2024)

Applying machine learning enabled myriad fragment empirical modes in 5G communications to detect profile injection attacks. - Mohammed S. Alzaidi; Piyush Kumar Shukla; V. Sangeetha; Karuna Nidhi Pandagre; Vinodh Kumar Minchula; Sachin Sharma; Arfat Ahmad Khan; V. Prashanth (Wirel. Networks, 2024)

Paired Domination Integrity of Graphs. - Annie Clare Antony; V. Sangeetha (Int. J. Found. Comput. Sci., 2025)